This is like a virtual skin consultant on your phone: you show it your skin and answer a few questions, and it recommends the right products and routines tailored specifically to you.
Consumers struggle to choose the right skincare products for their specific skin type and concerns, leading to confusion, poor results, and wasted spend. Brands struggle to translate lab know‑how into simple, personalised guidance at scale. This tool bridges that gap by turning skin diagnostics into easy, tailored recommendations directly in the consumer’s hands.
Combination of L’Oréal’s proprietary dermatological research, product databases, and brand trust, embedded in a consumer-facing experience that can be tightly integrated into its omnichannel ecosystem (apps, web, retail counters).
Hybrid
Vector Search
Medium (Integration logic)
On-device or cloud image-processing latency and cost at high consumer volumes, plus maintaining performance across diverse lighting conditions, skin tones, and device cameras.
Early Majority
Focused specifically on consumer-led, self-service skin analysis and personalisation—likely combining image-based skin diagnostics with L’Oréal’s proprietary product and dermatological datasets—rather than generic beauty quizzes or static recommendation trees.